diff --git a/.github/workflows/agno.yaml b/.github/workflows/agno.yaml new file mode 100644 index 00000000..96819d25 --- /dev/null +++ b/.github/workflows/agno.yaml @@ -0,0 +1,60 @@ +name: Agno CI + +on: + push: + paths: + - '.github/workflows/agno.yaml' + - 'agno/**' + branches: + - main + pull_request: + paths: + - '.github/workflows/agno.yaml' + - 'agno/**' + +permissions: + contents: read + +jobs: + check: + name: Format & Type Check + runs-on: ubuntu-latest + + defaults: + run: + working-directory: agno/agent + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Install uv + run: | + curl -LsSf https://astral.sh/uv/install.sh | sh + echo "$HOME/.cargo/bin" >> $GITHUB_PATH # Make uv available + + - name: Check format + run: uv run ruff format --check + + - name: Check lint + run: uv run ruff check + + - name: Check types + run: uv run pyright + + build: + name: Build + runs-on: ubuntu-latest + defaults: + run: + working-directory: agno + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Docker Compose + uses: ./.github/actions/setup-compose + + - name: Build Docker images + run: docker compose build diff --git a/agno/.gitignore b/agno/.gitignore index 3997af9c..d9a300f2 100644 --- a/agno/.gitignore +++ b/agno/.gitignore @@ -1 +1,2 @@ -.mcp.env \ No newline at end of file +/secret.* +/.mcp.env diff --git a/agno/README.md b/agno/README.md index 31e74a35..be7c2b5a 100644 --- a/agno/README.md +++ b/agno/README.md @@ -40,6 +40,24 @@ docker compose -f compose.yaml -f compose.offload.yaml up --build That's all! The agents will spin up automatically. Open **http://localhost:3000** in your browser to interact with the multi-agent system. +# 🧠 Inference Options + +By default, this project uses [Docker Model Runner] to handle LLM inference locally — no internet connection or external API key is required. + +If you’d prefer to use OpenAI instead: + +1. Create a `secret.openai-api-key` file with your OpenAI API key: + +``` +sk-... +``` + +2. Restart the project with the OpenAI configuration: + +``` +docker compose down -v +docker compose -f compose.yaml -f compose.openai.yaml up + # ❓ What Can It Do? Give it any public GitHub repository and watch the agents collaborate to deliver a comprehensive analysis: @@ -134,3 +152,4 @@ docker compose down -v [GitHub MCP Server]: https://github.com/modelcontextprotocol/servers [Docker Compose]: https://github.com/docker/compose [Docker Desktop]: https://www.docker.com/products/docker-desktop/ +[Docker Model Runner]: https://docs.docker.com/ai/model-runner/ diff --git a/agno/agent/.dockerignore b/agno/agent/.dockerignore index f952d5c9..5da7e0fe 100644 --- a/agno/agent/.dockerignore +++ b/agno/agent/.dockerignore @@ -1,2 +1,4 @@ -.venv -.mypy_cache +* +!pyproject.toml +!uv.lock +!playground.py diff --git a/agno/agent/.gitignore b/agno/agent/.gitignore new file mode 100644 index 00000000..d10a24d2 --- /dev/null +++ b/agno/agent/.gitignore @@ -0,0 +1,3 @@ +/.venv +/.ruff_cache +/.mypy_cache diff --git a/agno/agent/.ruff.toml b/agno/agent/.ruff.toml new file mode 100644 index 00000000..f64ad26d --- /dev/null +++ b/agno/agent/.ruff.toml @@ -0,0 +1,5 @@ +[lint] +select = ["E4", "E7", "E9", "F", "I", "RUF022"] + +[lint.isort] +force-sort-within-sections = true diff --git a/agno/agent/Dockerfile b/agno/agent/Dockerfile index e541df56..11b30254 100644 --- a/agno/agent/Dockerfile +++ b/agno/agent/Dockerfile @@ -1,11 +1,31 @@ -FROM python - -RUN apt-get update && apt-get install -y socat netcat-openbsd && \ - ln -sf /bin/nc.openbsd /usr/bin/nc +FROM python:3.13-slim +ENV PYTHONUNBUFFERED=1 +RUN pip install uv WORKDIR /app -COPY requirements.txt . -RUN pip install -r requirements.txt -COPY . . +COPY pyproject.toml uv.lock ./ +RUN --mount=type=cache,target=/root/.cache/uv \ + UV_COMPILE_BYTECODE=1 uv pip install --system . +COPY playground.py . +RUN python -m compileall -q . +COPY < bool: - if self.stream is not None: - return self.stream - return super().is_streamable - - -class Team(team.Team): - @property - def is_streamable(self) -> bool: - stream = getattr(self, "stream") - if stream is not None: - return stream - return super().is_streamable - -def should_stream(model_provider: str, tools: list[Toolkit]) -> Optional[bool]: - """Returns whether a model with the given provider and tools can stream""" - if model_provider == DOCKER_MODEL_PROVIDER and len(tools) > 0: - # DMR doesn't yet support tools with streaming - return True - # Let the model/options decide - return None - - -def create_model_from_config(entity_data: dict, entity_id: str) -> tuple[OpenAIChat, str]: +def create_model_from_config(entity_data: dict, entity_id: str) -> OpenAIChat: """Create a model instance from entity configuration data.""" - model_name = entity_data.get("model") - if not model_name: - model_name = os.getenv("MODEL_RUNNER_MODEL") - temperature = entity_data.get("temperature", None) - provider = entity_data.get("model_provider", "docker") - model = create_model(model_name, provider, temperature) - return model, provider + model = entity_data.get("model", {}) + name = model.get("name") + if not name: + raise ValueError( + f"Model name not specified for {entity_id}. Please set 'model.name' in the configuration." + ) + provider = model.get("provider", "") + temperature = entity_data.get("temperature") + return create_model(name, provider, temperature) -def create_model(model_name: str, provider: str, temperature: float) -> OpenAIChat: +def create_model( + model_name: str, provider: str, temperature: float | None +) -> OpenAIChat: """Create a model instance based on the model name and provider.""" - print(f"creating model {model_name} with provider {provider} and temperature {temperature}") - if provider == DOCKER_MODEL_PROVIDER: + print( + f"creating model {model_name} with provider {provider} and temperature {temperature}" + ) + if provider == "docker": base_url = os.getenv("MODEL_RUNNER_URL") if base_url is None: - base_url = "http://model-runner.docker.internal/engines/llama.cpp/v1" + raise ValueError( + f"MODEL_RUNNER_URL environment variable not set for {model_name}." + ) model = OpenAIChat(id=model_name, base_url=base_url, temperature=temperature) model.role_map = { "system": "system", @@ -91,36 +69,16 @@ async def create_mcp_tools(tools_list: list[str], entity_type: str) -> list[Tool tool_names = [name.split(":", 1)[1] for name in tools_list] - # Always use socat, but the endpoint can be different (mock vs real gateway) - endpoint = os.environ['MCPGATEWAY_ENDPOINT'] - print(f"DEBUG: {entity_type} connecting to MCP gateway at {endpoint}") - - # Parse endpoint to extract host and port - try: - # Handle both URL format (http://host:port/path) and host:port format - if endpoint.startswith('http://') or endpoint.startswith('https://'): - parsed = urlparse(endpoint) - host = parsed.hostname - port = parsed.port - tcp_endpoint = f"{host}:{port}" - else: - # Legacy host:port format - host, port = endpoint.split(':') - port = int(port) - tcp_endpoint = endpoint - - # Test TCP connection first - sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - sock.settimeout(5) - sock.connect((host, port)) - sock.close() - print(f"DEBUG: TCP connection to {host}:{port} successful") - except Exception as e: - print(f"ERROR: TCP connection to {endpoint} failed: {e}") - raise + url = os.environ.get("MCPGATEWAY_URL") + if not url: + raise ValueError( + f"MCPGATEWAY_URL environment variable not set for {entity_type} tools" + ) + print(f"DEBUG: {entity_type} connecting to MCP gateway at {url}") t = MCPTools( - command=f"socat STDIO TCP:{tcp_endpoint}", + url=url, + transport="sse", include_tools=tool_names, ) mcp_tools = await t.__aenter__() @@ -130,9 +88,9 @@ async def create_mcp_tools(tools_list: list[str], entity_type: str) -> list[Tool def get_common_config(entity_data: dict) -> dict: """Extract common configuration options.""" return { - 'markdown': entity_data.get("markdown", False), - 'add_datetime_to_instructions': True, - 'debug_mode': True, + "markdown": entity_data.get("markdown", False), + "add_datetime_to_instructions": True, + "debug_mode": True, } @@ -145,11 +103,11 @@ async def run_server(config) -> None: teams_by_id = {} for agent_id, agent_data in config.get("agents", {}).items(): - model, provider = create_model_from_config(agent_data, agent_id) + model = create_model_from_config(agent_data, agent_id) common_config = get_common_config(agent_data) tools: list[Toolkit] = [ -# ReasoningTools(think=True, analyze=True) + # ReasoningTools(think=True, analyze=True) ] tools_list = agent_data.get("tools", []) mcp_tools = await create_mcp_tools(tools_list, "Agent") @@ -160,10 +118,9 @@ async def run_server(config) -> None: role=agent_data.get("role", ""), description=agent_data.get("description"), instructions=agent_data.get("instructions"), - tools=tools, + tools=tools, # type: ignore model=model, show_tool_calls=True, - stream=should_stream(provider, tools), **common_config, ) agents_by_id[agent_id] = agent @@ -172,7 +129,7 @@ async def run_server(config) -> None: agents.append(agent) for team_id, team_data in config.get("teams", {}).items(): - model, provider = create_model_from_config(team_data, team_id) + model = create_model_from_config(team_data, team_id) common_config = get_common_config(team_data) team_agents: list[Agent | Team] = [] @@ -184,7 +141,7 @@ async def run_server(config) -> None: team_agents.append(agent) team_tools: list[Toolkit] = [ -# ReasoningTools(think=True, analyze=True) + # ReasoningTools(think=True, analyze=True) ] tools_list = team_data.get("tools", []) mcp_tools = await create_mcp_tools(tools_list, "Team") @@ -193,21 +150,20 @@ async def run_server(config) -> None: team = Team( name=team_data.get("name", ""), mode=team_data.get("mode", "coordinate"), - members=team_agents, # type: ignore + members=team_agents, description=team_data.get("description"), instructions=team_data.get("instructions"), - tools=team_tools, # type: ignore, + tools=team_tools, # type: ignore model=model, # show_members_responses=True, # show_tool_calls=True, **common_config, ) - team.stream = should_stream(provider, team_tools) teams_by_id[team_id] = team if team_data.get("chat", True): teams.append(team) - playground = Playground(agents=agents, teams=teams) # type: ignore + playground = Playground(agents=agents, teams=teams) app = playground.get_app() app.add_middleware( @@ -225,7 +181,8 @@ async def run_server(config) -> None: def main(): config_filename = sys.argv[1] if len(sys.argv) > 1 else "/agents.yaml" with open(config_filename, "r") as f: - config = yaml.safe_load(f) + expanded = os.path.expandvars(f.read()) + config = yaml.safe_load(expanded) asyncio.run(run_server(config)) diff --git a/agno/agent/pyproject.toml b/agno/agent/pyproject.toml new file mode 100644 index 00000000..05b14b78 --- /dev/null +++ b/agno/agent/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "agno-agent-demo" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "agno>=1.7.0", + "fastapi>=0.115.14", + "mcp>=1.10.1", + "nest-asyncio>=1.6.0", + 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attributes like title, number, labels. Make sure to not confuse issues with pull requests, omit pull requests entirely. When listing issues, call your tools no more than once. @@ -14,6 +14,9 @@ agents: If you don't know the value for a parameter when calling a tool, just omit it. tools: - mcp/github-mcp-server:list_issues + model: + name: ${MODEL_NAME} + provider: ${MODEL_PROVIDER} writer: name: Writer @@ -25,6 +28,9 @@ agents: Additionally, classify the issues into categories such as "bug", "feature request", or "documentation". Always include the issue links referenced in the summary, as markdown. Add an executive summary at the top of the output, which should be a brief overview of the issues, with a sentiment analysis of the issues. + model: + name: ${MODEL_NAME} + provider: ${MODEL_PROVIDER} teams: coordinator: @@ -32,7 +38,7 @@ teams: mode: coordinate members: [github, writer] instructions: | - When given a GitHub repository, which will look like /: + When given a GitHub repository, which will look like / or http://github.com//: - Ask your team mate to find the issues that are open - Tell the writer the summarize them as Markdown @@ -46,3 +52,6 @@ teams: Use your team mates to perform all the required tasks, coordinate between them. Always include the github tool whole output in your messages to the writer. + model: + name: ${MODEL_NAME} + provider: ${MODEL_PROVIDER} diff --git a/agno/compose.openai.yaml b/agno/compose.openai.yaml new file mode 100644 index 00000000..b94b2933 --- /dev/null +++ b/agno/compose.openai.yaml @@ -0,0 +1,11 @@ +services: + + agents: + environment: + - OPENAI_MODEL_NAME=gpt-4.1 + secrets: + - openai-api-key + +secrets: + openai-api-key: + file: secret.openai-api-key diff --git a/agno/compose.yaml b/agno/compose.yaml index f00ce01c..81b8d9b4 100644 --- a/agno/compose.yaml +++ b/agno/compose.yaml @@ -7,9 +7,8 @@ services: ports: - "7777:7777" environment: - - OPENAI_API_KEY=$OPENAI_API_KEY # point agents at the MCP gateway - - MCPGATEWAY_ENDPOINT=http://mcp-gateway:8811/sse + - MCPGATEWAY_URL=http://mcp-gateway:8811/sse volumes: # mount the agents file - ./agents.yaml:/agents.yaml @@ -35,6 +34,7 @@ services: # use docker API socket to start MCP servers use_api_socket: true command: + - --transport=sse # securely embed secrets into the gateway - --secrets=/run/secrets/mcp_secret # add any MCP servers you want to use